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职业迁徙
个人简介
The research of my group lies at the intersection of machine learning and Bayesian statistics. We are interested in probabilistic methods, approximate inference, generative models, deep neural networks, Bayesian nonparametrics, and reinforcement learning. We are currently focused on advancing both statistical inference with deep learning and deep learning with probabilistic methods. The deep probabilistic models and inference algorithms developed in our group have been applied to tackle challenging problems in a wide variety of research areas, including computer vision, natural language processing, sequential decision making, text analysis, image processing, time series modeling, graph mining, inverse materials design, and bioinformatics. Our recent research has received funding/computing support from NSF, NIH, TACC, and Microsoft.
研究兴趣
论文共 217 篇作者统计合作学者相似作者
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ICLR 2024 (2024)
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CoRR (2024)
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IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2024): 841-852
Ruyi An,Yewen Li,Xu He,Pengjie Gu,Mengchen Zhao,Dong Li,Jianye Hao,Bo An, Chaojie Wang,Mingyuan Zhou
CVPR 2024 (2024)
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ICLR 2024 (2024)
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NeurIPS (2023)
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ICLR 2023 (2023)
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